Company Overview: THE COMPANY is undergoing a major transformation to become a modern, AI-driven insurance company. Its Data & AI team leads enterprise-wide intelligence and automation, creating measurable value through advanced AI/ML solutions. The Data Science Lab (DSL) drives innovation, testing, and scaling of cutting-edge AI to reimagine insurance in the age of agentic AI and LLMs. Role Overview: THE COMPANY seeks a Senior Data Scientist, Agentic AI to design, build, and operationalize agentic AI systems, LLMs, and intelligent automation solutions. This high-visibility role involves direct collaboration with senior executives to bring next-generation AI to life, driving transformation in underwriting, claims, customer service, and risk assessment. Qualifications Key Responsibilities
AI Agent Engineer/Architect
Description:Engagement Model:On-site presence: Roughly 20 hours per week, ideally across 3 days, in Chicago (primary) or New York (secondary).Pair programming model: The consultant must work side-by-side with internal squads, teaching while building. Remote work alone is not acceptable—onsite collaboration ensures accountability and prevents the team from offloading everything. Core RoleAn “agentic AI expert” with real production experience building and deploying agents using LangGraph, LangChain, or an equivalent agent framework (not just low-code tools like ChatGPT plug-ins or Copilot Studio).This person should already know the pitfalls and best practices of agentic architectures (e.g., how to structure agent communication and avoid common loops/failures). Deliverables & Expectations:Quick impact is critical: Tangible progress and agents in production within the first month.If the consultant is strong, the Client will extend beyond the initial term and even consider full-time conversion.If there’s no value delivery, the contract is terminated early. Environment & Support:Infrastructure readiness: Client already has AI infrastructure, chatbots, and security in place. The gap is expertise, not tooling.Team size: About 30 people in each location (NY or Chicago) who will collaborate with the consultant. Provides subject matter expertise in the requested technology or application.Assists the client in implementing, upgrading, or optimizing specific technology.Utilizes professional expertise to perform analysis, project management, and/or development activities with technology.Requires demonstrated subject matter expertise in the specified technical area.
Triage Software Engineer
Description The Triage Software Engineer will primarily be responsible for initial analysis and triage of defects before they are assigned to individual development teams for root cause and fix. Responsibilities: • Perform high level defect analysis to filter out environmental/ setup issues, IVI vs server-side issues and move the defects to correct queue (HU, Server, Tier1, Tier2 etc.) at the earliest • Continuously monitor the defect dashboard, drive defect triage calls and work closely with PO, Eval & Development team members to clarify defects and track them to closure • Create dashboards and reports for management and other stakeholders • Provide summarization of key points and work with others to cut through ambiguity and bring issues to resolution Requirements • Great problem-solving skills, analytical, tools & development experience, and ability to evaluate and identify issues at a code level • History of working with cross-functional teams to ensure successful product • Must be a self-starter with excellent communication skills, attention to detail and a knack for solving problems creatively • Able to work under pressure • Experienced in Automotive Infotainment domain with exposure to embedded software development in C/C++/ Linux • Knowledge of how to use JIRA, Confluence and Logs Analysis Tools • High Level System Architecture Knowledge – SW Design, Sequence diagrams, APIs, HTTP error codes • Conversant with Linux commands, utilities and basic Python scripting • Experience in Agile and Scrum methodologies • Ability to respond promptly, confidently, and effectively to unforeseen situations, such as unexpected questions, obstacles, or opportunities Added Bonus: • Experience in designing, developing, and debugging software in a real-time embedded environment • Knowledge of how to read DLT logs, DLT-Viewer and how to apply filters in DLT logs